Skip to main content
Glama

get_setting

Retrieve a specific user setting value from the memory system to restore context or configure behavior. Use this when you need to read a stored setting by its key.

Instructions

读取指定用户设定

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYes设定键名

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv2.0.0

TDQS

B3.2/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states that a setting is read, but does not explain error behavior, return format, whether missing keys return null, or any permission requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short phrase with no wasted words, making it very concise. However, it is so terse that it sacrifices potentially useful context, though it still remains readable and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter getter, the description is minimally adequate. However, there is no output schema and no mention of return values or edge cases, leaving the agent to infer important runtime behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, and the schema already describes the key parameter with '设定键名'. The description adds no additional meaning beyond the schema, so the baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb '读取' (read) with a clear resource '指定用户设定' (specified user setting), making the tool's purpose unambiguous. It naturally distinguishes itself from the sibling save_setting, which implies the opposing write operation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to use this tool versus alternatives. There is no mention of context, prerequisites, or why an agent should pick get_setting over other read-oriented siblings like context or get_history.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/fangxh2013/trae-memory'

If you have feedback or need assistance with the MCP directory API, please join our Discord server